Ranjit Panigrahi

16 papers Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Optimized Predictive Technique for Intelligent Classification (OPTIC): A Decision Tree Ensemble Approach for Neurodegenerative Disease Detection via Gait Pattern Analysis.
IEEE Access
Diksha Giri, Ranjit Panigrahi, Samrat Singh Bhandari, K. S. Hareesha, Moumita Pramanik, Victor Hugo C. de Albuquerque, Akash Kumar Bhoi
2025 J jnl
A novel dynamic weighted prediction framework with stability-enhanced dynamic thresholding feature selection for neurodegenerative disease detection using gait features.
J. Big Data
Diksha Giri, Ranjit Panigrahi, Samrat Singh Bhandari, Moumita Pramanik, Akash Kumar Bhoi, Victor Hugo C. de Albuquerque
2024 J jnl
Big data analytics enabled deep convolutional neural network for the diagnosis of cancer.
Knowl. Inf. Syst.
Joseph Bamidele Awotunde, Ranjit Panigrahi, Shubham Shukla, Baidyanath Panda, Akash Kumar Bhoi
2024 J jnl
Bot-FFX: A Robust and Efficient Framework for Fast Flux Botnet (FFB) Detection.
Wirel. Pers. Commun.
Femi Emmanuel Ayo, Joseph Bamidele Awotunde, Sakinat Oluwabukonla Folorunso, Ranjit Panigrahi, Amik Garg, Akash Kumar Bhoi
2024 J jnl
Ontology-Based Layered Rule-Based Network Intrusion Detection System for Cybercrimes Detection.
Knowl. Inf. Syst.
Femi Emmanuel Ayo, Joseph Bamidele Awotunde, Lukman Adebayo Ogundele, Olakunle Olugbenga Solanke, Biswajit Brahma, Ranjit Panigrahi, Akash Kumar Bhoi
2024 J jnl
Optimized Forest Framework with A Binary Multineighborhood Artificial Bee Colony for Enhanced Diabetes Mellitus Detection.
Int. J. Comput. Intell. Syst.
Gaurav Pradhan, Gopal Thapa, Ratika Pradhan, Bidita Khandelwal, Ranjit Panigrahi, Akash Kumar Bhoi, Paolo Barsocchi
2023 J jnl
A Multi-level Random Forest Model-Based Intrusion Detection Using Fuzzy Inference System for Internet of Things Networks.
Int. J. Comput. Intell. Syst.
Joseph Bamidele Awotunde, Femi Emmanuel Ayo, Ranjit Panigrahi, Amik Garg, Akash Kumar Bhoi, Paolo Barsocchi
2023 J jnl
An Ensemble of Light Gradient Boosting Machine and Adaptive Boosting for Prediction of Type-2 Diabetes.
Int. J. Comput. Intell. Syst.
M. Jishnu Sai, Pratiksha Chettri, Ranjit Panigrahi, Amik Garg, Akash Kumar Bhoi, Paolo Barsocchi
2023 — conf
CNN-KPCA: A hybrid Convolutional Neural Network with Kernel Principal Component Analysis for Intrusion Detection System for the Internet of Things Environments.
SCCTT
Joseph Bamidele Awotunde, Ranjit Panigrahi, Mohit Agarwal, Biswajit Brahma, Akash Kumar Bhoi
2023 J jnl
Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification.
Big Data Min. Anal.
Kalyan Kumar Jena, Sourav Kumar Bhoi, Soumya Ranjan Nayak, Ranjit Panigrahi, Akash Kumar Bhoi
2022 J jnl
An Improvised Deep-Learning-Based Mask R-CNN Model for Laryngeal Cancer Detection Using CT Images.
Sensors
Pravat Kumar Sahoo, Sushruta Mishra, Ranjit Panigrahi, Akash Kumar Bhoi, Paolo Barsocchi
2022 J jnl
Intrusion detection in cyber-physical environment using hybrid Naïve Bayes - Decision table and multi-objective evolutionary feature selection.
Comput. Commun.
Ranjit Panigrahi, Samarjeet Borah, Moumita Pramanik, Akash Kumar Bhoi, Paolo Barsocchi, Soumya Ranjan Nayak, Waleed S. Alnumay
2022 J jnl
Probabilistic Buckshot-Driven Cluster Head Identification and Accumulative Data Encryption in WSN.
J. Circuits Syst. Comput.
Parvathaneni Naga Srinivasu, Ranjit Panigrahi, Ashish Singh, Akash Kumar Bhoi
2020 J jnl
Decision-making on the existence of soft exudates in diabetic retinopathy.
Int. J. Comput. Appl. Technol.
A. Reyana, V. T. Krishnaprasath, Sandeep Kautish, Ranjit Panigrahi, Mahaboob Shaik
2020 J jnl
Survivability prediction of patients suffering hepatocellular carcinoma using diverse classifier ensemble of grafted decision tree.
Int. J. Comput. Appl. Technol.
Ranjit Panigrahi, Moumita Pramanik, Udit Kumar Chakraborty, Akash Kumar Bhoi
2020 — conf
WEKA Result Reader - A Smart Tool for Reading and Summarizing WEKA Simulator Files.
FICTA (1)
Ranjit Panigrahi, Samarjeet Borah, Udit Kumar Chakraborty